Studies on missing data have increased in the past few decades. It is an uncontrollable
phenomenon and could occur during the data collection in practically any research field …

The problem of missing values has been a prominent area of research in recent years. They
may prove to be a huge obstacle during the analysis of data related to various domains …

An authentic water consumption forecast is an auxiliary tool to support the management of
the water supply and demand in urban areas. Providing a highly accurate forecasting model …

Missing values or incomplete data are frequently encountered in medical records. These
issues will be a serious problem if the data must be provided completely for analysis. The …

Missing values are a prevalent issue, frequently leading to a considerable decline in the
quality of data. Therefore, it becomes imperative to adeptly manage missing data. This study …

In recent times, the presence of missing values has emerged as a prominent issue in data
mining. Missing values can arise in a database due to various factors, such as inadequate …

Dealing with missing values has been a major obstacle in machine learning. The
occurrence of missing data is a significant problem that often results in a noticeable …

Severe acute respiratory syndrome coronavirus type 1 (SARS-CoV-1) outbreak has
presented a serious danger to world health, and in subsequent years, SARS-CoV-2 …

The appropriate categorization of tumors from a vast quantity of Gene Expression Data
(GED) is one of the most difficult processes in clinical diagnosis. To combat this challenge, a …

Missing values are a prevalent issue, frequently leading to a considerable decline in the
quality of data. Therefore, it becomes imperative to adeptly manage missing data. This study …